Originally posted on HuggingFace by 22h
Vintedois (22h) Diffusion model trained by Predogl and piEsposito with open weights, configs and prompts (as it should be)
This model was trained on a large amount of high quality images with simple prompts to generate beautiful images without a lot of prompt engineering.
You can enforce style by prepending your prompt with estilovintedois if it is not good enough. It also works well with different aspect ratios, such as 2:3 and 3:2.
It should also be very dreamboothable, being able to generate high fidelity faces with a little amount of steps.
You can use this model commercially or whatever, but we are not liable if you do messed up stuff with it.
Model card
Everything from Stable Diffusion v1-5, plus the fact that this is being built by two indie devs, so it was not extensively tested for new biases.
You can run this concept via diffusers Colab Notebook for Inference
What is Vintendois Diffusion ?
Vintendois Diffusion is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user civitai. Derived from the powerful Stable Diffusion (SD 1.5) model, Vintendois Diffusion has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that Vintendois Diffusion is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as landscapes, photorealistic, style.
With a rating of 0 and over 0 ratings, Vintendois Diffusion is a popular choice among users for generating high-quality images from text prompts.
Can I download Vintendois Diffusion ?
Yes! You can download the latest version of Vintendois Diffusion from here.
How to use Vintendois Diffusion ?
To use Vintendois Diffusion , download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like Vintendois Diffusion , check out our crash course in AI image generation.
